Basic Profile Report - Klarna Dataset

Dataset statistics

Number of variables	44
Number of observations	71980
Missing cells	424146
Missing cells (%)	13.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	42.5 MiB
Average record size in memory	619.5 B

Variable types

Numeric	24
Categorical	19
Boolean	1

Warnings

`merchant_category` has a high cardinality: 56 distinct values	High cardinality
`merchant_group` has a high cardinality: 12 distinct values	High cardinality
`uuid` has a high cardinality: 71980 distinct values	High cardinality
`account_amount_added_12_24m` is highly correlated with `sum_capital_paid_account_0_12m` and 1 other fields	High correlation
`account_days_in_rem_12_24m` is highly correlated with `account_worst_status_12_24m`	High correlation
`account_days_in_term_12_24m` is highly correlated with `account_worst_status_12_24m`	High correlation
`account_worst_status_0_3m` is highly correlated with `account_worst_status_3_6m`	High correlation
`account_worst_status_12_24m` is highly correlated with `account_days_in_rem_12_24m` and 1 other fields	High correlation
`account_worst_status_3_6m` is highly correlated with `account_worst_status_0_3m`	High correlation
`avg_payment_span_0_12m` is highly correlated with `avg_payment_span_0_3m` and 3 other fields	High correlation
`avg_payment_span_0_3m` is highly correlated with `avg_payment_span_0_12m` and 1 other fields	High correlation
`has_paid` is highly correlated with `status_last_archived_0_24m` and 3 other fields	High correlation
`max_paid_inv_0_12m` is highly correlated with `max_paid_inv_0_24m` and 1 other fields	High correlation
`max_paid_inv_0_24m` is highly correlated with `max_paid_inv_0_12m`	High correlation
`num_active_inv` is highly correlated with `num_arch_ok_0_12m` and 2 other fields	High correlation
`num_arch_ok_0_12m` is highly correlated with `num_active_inv` and 2 other fields	High correlation
`num_arch_ok_12_24m` is highly correlated with `num_active_inv` and 2 other fields	High correlation
`num_arch_rem_0_12m` is highly correlated with `status_max_archived_0_12_months`	High correlation
`status_last_archived_0_24m` is highly correlated with `avg_payment_span_0_12m` and 6 other fields	High correlation
`status_2nd_last_archived_0_24m` is highly correlated with `has_paid` and 5 other fields	High correlation
`status_3rd_last_archived_0_24m` is highly correlated with `status_2nd_last_archived_0_24m` and 3 other fields	High correlation
`status_max_archived_0_6_months` is highly correlated with `status_last_archived_0_24m` and 4 other fields	High correlation
`status_max_archived_0_12_months` is highly correlated with `avg_payment_span_0_12m` and 7 other fields	High correlation
`status_max_archived_0_24_months` is highly correlated with `avg_payment_span_0_12m` and 6 other fields	High correlation
`sum_capital_paid_account_0_12m` is highly correlated with `account_amount_added_12_24m` and 1 other fields	High correlation
`sum_capital_paid_account_12_24m` is highly correlated with `account_amount_added_12_24m` and 1 other fields	High correlation
`sum_paid_inv_0_12m` is highly correlated with `max_paid_inv_0_12m` and 3 other fields	High correlation
`account_amount_added_12_24m` is highly correlated with `num_unpaid_bills` and 2 other fields	High correlation
`account_days_in_rem_12_24m` is highly correlated with `account_worst_status_12_24m` and 1 other fields	High correlation
`account_incoming_debt_vs_paid_0_24m` is highly correlated with `num_unpaid_bills`	High correlation
`account_worst_status_0_3m` is highly correlated with `account_worst_status_3_6m`	High correlation
`account_worst_status_12_24m` is highly correlated with `account_days_in_rem_12_24m`	High correlation
`account_worst_status_3_6m` is highly correlated with `account_worst_status_0_3m`	High correlation
`avg_payment_span_0_12m` is highly correlated with `avg_payment_span_0_3m` and 3 other fields	High correlation
`avg_payment_span_0_3m` is highly correlated with `avg_payment_span_0_12m`	High correlation
`has_paid` is highly correlated with `max_paid_inv_0_12m` and 9 other fields	High correlation
`max_paid_inv_0_12m` is highly correlated with `has_paid` and 9 other fields	High correlation
`max_paid_inv_0_24m` is highly correlated with `has_paid` and 10 other fields	High correlation
`num_active_div_by_paid_inv_0_12m` is highly correlated with `num_active_inv` and 1 other fields	High correlation
`num_active_inv` is highly correlated with `num_active_div_by_paid_inv_0_12m` and 1 other fields	High correlation
`num_arch_ok_0_12m` is highly correlated with `has_paid` and 8 other fields	High correlation
`num_arch_ok_12_24m` is highly correlated with `max_paid_inv_0_24m` and 4 other fields	High correlation
`num_arch_rem_0_12m` is highly correlated with `avg_payment_span_0_12m` and 3 other fields	High correlation
`num_unpaid_bills` is highly correlated with `account_amount_added_12_24m` and 5 other fields	High correlation
`status_last_archived_0_24m` is highly correlated with `has_paid` and 8 other fields	High correlation
`status_2nd_last_archived_0_24m` is highly correlated with `has_paid` and 10 other fields	High correlation
`status_3rd_last_archived_0_24m` is highly correlated with `has_paid` and 10 other fields	High correlation
`status_max_archived_0_6_months` is highly correlated with `has_paid` and 10 other fields	High correlation
`status_max_archived_0_12_months` is highly correlated with `avg_payment_span_0_12m` and 11 other fields	High correlation
`status_max_archived_0_24_months` is highly correlated with `avg_payment_span_0_12m` and 10 other fields	High correlation
`sum_capital_paid_account_0_12m` is highly correlated with `account_amount_added_12_24m` and 2 other fields	High correlation
`sum_capital_paid_account_12_24m` is highly correlated with `account_amount_added_12_24m` and 3 other fields	High correlation
`sum_paid_inv_0_12m` is highly correlated with `has_paid` and 10 other fields	High correlation
`account_amount_added_12_24m` is highly correlated with `sum_capital_paid_account_0_12m` and 1 other fields	High correlation
`account_days_in_rem_12_24m` is highly correlated with `account_worst_status_12_24m`	High correlation
`account_worst_status_12_24m` is highly correlated with `account_days_in_rem_12_24m`	High correlation
`avg_payment_span_0_12m` is highly correlated with `avg_payment_span_0_3m` and 1 other fields	High correlation
`avg_payment_span_0_3m` is highly correlated with `avg_payment_span_0_12m`	High correlation
`has_paid` is highly correlated with `status_last_archived_0_24m` and 4 other fields	High correlation
`max_paid_inv_0_12m` is highly correlated with `max_paid_inv_0_24m` and 1 other fields	High correlation
`max_paid_inv_0_24m` is highly correlated with `max_paid_inv_0_12m` and 1 other fields	High correlation
`num_active_div_by_paid_inv_0_12m` is highly correlated with `num_active_inv` and 1 other fields	High correlation
`num_active_inv` is highly correlated with `num_active_div_by_paid_inv_0_12m` and 1 other fields	High correlation
`num_arch_ok_0_12m` is highly correlated with `num_arch_ok_12_24m` and 3 other fields	High correlation
`num_arch_ok_12_24m` is highly correlated with `num_arch_ok_0_12m` and 2 other fields	High correlation
`num_arch_rem_0_12m` is highly correlated with `status_max_archived_0_12_months` and 1 other fields	High correlation
`num_unpaid_bills` is highly correlated with `num_active_div_by_paid_inv_0_12m` and 2 other fields	High correlation
`status_last_archived_0_24m` is highly correlated with `has_paid` and 5 other fields	High correlation
`status_2nd_last_archived_0_24m` is highly correlated with `has_paid` and 5 other fields	High correlation
`status_3rd_last_archived_0_24m` is highly correlated with `has_paid` and 8 other fields	High correlation
`status_max_archived_0_6_months` is highly correlated with `num_arch_ok_0_12m` and 6 other fields	High correlation
`status_max_archived_0_12_months` is highly correlated with `avg_payment_span_0_12m` and 8 other fields	High correlation
`status_max_archived_0_24_months` is highly correlated with `has_paid` and 6 other fields	High correlation
`sum_capital_paid_account_0_12m` is highly correlated with `account_amount_added_12_24m` and 2 other fields	High correlation
`sum_capital_paid_account_12_24m` is highly correlated with `account_amount_added_12_24m` and 1 other fields	High correlation
`sum_paid_inv_0_12m` is highly correlated with `max_paid_inv_0_12m` and 6 other fields	High correlation
`account_worst_status_12_24m` is highly correlated with `account_worst_status_6_12m` and 3 other fields	High correlation
`account_worst_status_3_6m` is highly correlated with `account_worst_status_6_12m` and 1 other fields	High correlation
`worst_status_active_inv` is highly correlated with `recovery_debt`	High correlation
`status_last_archived_0_24m` is highly correlated with `status_max_archived_0_24_months` and 6 other fields	High correlation
`max_paid_inv_0_12m` is highly correlated with `max_paid_inv_0_24m`	High correlation
`account_worst_status_6_12m` is highly correlated with `account_worst_status_12_24m` and 2 other fields	High correlation
`max_paid_inv_0_24m` is highly correlated with `max_paid_inv_0_12m`	High correlation
`num_arch_ok_0_12m` is highly correlated with `num_active_inv` and 2 other fields	High correlation
`status_max_archived_0_24_months` is highly correlated with `status_last_archived_0_24m` and 8 other fields	High correlation
`num_arch_rem_0_12m` is highly correlated with `sum_paid_inv_0_12m`	High correlation
`status_max_archived_0_12_months` is highly correlated with `status_last_archived_0_24m` and 8 other fields	High correlation
`num_arch_written_off_0_12m` is highly correlated with `status_max_archived_0_24_months` and 1 other fields	High correlation
`num_arch_dc_0_12m` is highly correlated with `num_arch_dc_12_24m`	High correlation
`sum_capital_paid_account_0_12m` is highly correlated with `sum_capital_paid_account_12_24m`	High correlation
`avg_payment_span_0_12m` is highly correlated with `status_last_archived_0_24m` and 5 other fields	High correlation
`avg_payment_span_0_3m` is highly correlated with `status_last_archived_0_24m` and 3 other fields	High correlation
`account_days_in_rem_12_24m` is highly correlated with `account_worst_status_12_24m`	High correlation
`status_3rd_last_archived_0_24m` is highly correlated with `status_max_archived_0_24_months` and 4 other fields	High correlation
`num_arch_written_off_12_24m` is highly correlated with `status_max_archived_0_24_months` and 1 other fields	High correlation
`merchant_group` is highly correlated with `merchant_category`	High correlation
`num_arch_dc_12_24m` is highly correlated with `num_arch_dc_0_12m`	High correlation
`status_2nd_last_archived_0_24m` is highly correlated with `status_last_archived_0_24m` and 7 other fields	High correlation
`num_unpaid_bills` is highly correlated with `num_active_inv` and 1 other fields	High correlation
`account_days_in_term_12_24m` is highly correlated with `account_worst_status_12_24m`	High correlation
`num_active_inv` is highly correlated with `num_arch_ok_0_12m` and 3 other fields	High correlation
`sum_paid_inv_0_12m` is highly correlated with `num_arch_ok_0_12m` and 4 other fields	High correlation
`num_arch_ok_12_24m` is highly correlated with `num_arch_ok_0_12m` and 2 other fields	High correlation
`recovery_debt` is highly correlated with `worst_status_active_inv` and 2 other fields	High correlation
`account_worst_status_0_3m` is highly correlated with `account_worst_status_3_6m` and 1 other fields	High correlation
`merchant_category` is highly correlated with `merchant_group`	High correlation
`account_days_in_dc_12_24m` is highly correlated with `account_worst_status_12_24m`	High correlation
`sum_capital_paid_account_12_24m` is highly correlated with `sum_capital_paid_account_0_12m`	High correlation
`status_max_archived_0_6_months` is highly correlated with `status_last_archived_0_24m` and 6 other fields	High correlation
`has_paid` is highly correlated with `status_last_archived_0_24m` and 4 other fields	High correlation
`status_last_archived_0_24m` is highly correlated with `status_max_archived_0_24_months` and 3 other fields	High correlation
`status_max_archived_0_24_months` is highly correlated with `status_last_archived_0_24m` and 6 other fields	High correlation
`status_max_archived_0_12_months` is highly correlated with `status_last_archived_0_24m` and 5 other fields	High correlation
`num_arch_written_off_0_12m` is highly correlated with `status_max_archived_0_24_months` and 2 other fields	High correlation
`status_3rd_last_archived_0_24m` is highly correlated with `status_max_archived_0_12_months` and 2 other fields	High correlation
`num_arch_written_off_12_24m` is highly correlated with `status_max_archived_0_24_months`	High correlation
`merchant_group` is highly correlated with `merchant_category`	High correlation
`status_2nd_last_archived_0_24m` is highly correlated with `status_max_archived_0_24_months` and 1 other fields	High correlation
`merchant_category` is highly correlated with `merchant_group`	High correlation
`status_max_archived_0_6_months` is highly correlated with `status_last_archived_0_24m` and 3 other fields	High correlation
`has_paid` is highly correlated with `status_last_archived_0_24m` and 5 other fields	High correlation
`account_days_in_dc_12_24m` has 8540 (11.9%) missing values	Missing
`account_days_in_rem_12_24m` has 8540 (11.9%) missing values	Missing
`account_days_in_term_12_24m` has 8540 (11.9%) missing values	Missing
`account_incoming_debt_vs_paid_0_24m` has 42629 (59.2%) missing values	Missing
`account_status` has 39100 (54.3%) missing values	Missing
`account_worst_status_0_3m` has 39100 (54.3%) missing values	Missing
`account_worst_status_12_24m` has 48018 (66.7%) missing values	Missing
`account_worst_status_3_6m` has 41500 (57.7%) missing values	Missing
`account_worst_status_6_12m` has 43415 (60.3%) missing values	Missing
`avg_payment_span_0_12m` has 17086 (23.7%) missing values	Missing
`avg_payment_span_0_3m` has 35356 (49.1%) missing values	Missing
`num_active_div_by_paid_inv_0_12m` has 16438 (22.8%) missing values	Missing
`num_arch_written_off_0_12m` has 12957 (18.0%) missing values	Missing
`num_arch_written_off_12_24m` has 12957 (18.0%) missing values	Missing
`worst_status_active_inv` has 49970 (69.4%) missing values	Missing
`account_days_in_dc_12_24m` is highly skewed (γ1 = 37.44849558)	Skewed
`account_incoming_debt_vs_paid_0_24m` is highly skewed (γ1 = 111.6008925)	Skewed
`recovery_debt` is highly skewed (γ1 = 51.15070937)	Skewed
`row_id` is uniformly distributed	Uniform
`uuid` is uniformly distributed	Uniform
`row_id` has unique values	Unique
`uuid` has unique values	Unique
`account_amount_added_12_24m` has 51292 (71.3%) zeros	Zeros
`account_days_in_dc_12_24m` has 63242 (87.9%) zeros	Zeros
`account_days_in_rem_12_24m` has 56481 (78.5%) zeros	Zeros
`account_days_in_term_12_24m` has 62547 (86.9%) zeros	Zeros
`account_incoming_debt_vs_paid_0_24m` has 9460 (13.1%) zeros	Zeros
`max_paid_inv_0_12m` has 15535 (21.6%) zeros	Zeros
`max_paid_inv_0_24m` has 12626 (17.5%) zeros	Zeros
`num_active_div_by_paid_inv_0_12m` has 35071 (48.7%) zeros	Zeros
`num_active_inv` has 49970 (69.4%) zeros	Zeros
`num_arch_dc_0_12m` has 68934 (95.8%) zeros	Zeros
`num_arch_dc_12_24m` has 69104 (96.0%) zeros	Zeros
`num_arch_ok_0_12m` has 19662 (27.3%) zeros	Zeros
`num_arch_ok_12_24m` has 27188 (37.8%) zeros	Zeros
`num_arch_rem_0_12m` has 55234 (76.7%) zeros	Zeros
`num_unpaid_bills` has 37379 (51.9%) zeros	Zeros
`recovery_debt` has 71821 (99.8%) zeros	Zeros
`sum_capital_paid_account_0_12m` has 47492 (66.0%) zeros	Zeros
`sum_capital_paid_account_12_24m` has 53768 (74.7%) zeros	Zeros
`sum_paid_inv_0_12m` has 15535 (21.6%) zeros	Zeros

Reproduction

Analysis started	2021-05-19 03:27:57.785528
Analysis finished	2021-05-19 03:29:40.449306
Duration	1 minute and 42.66 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

account_amount_added_12_24m
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	17948
Distinct (%)	24.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12270.56421

Minimum	0
Maximum	1128775
Zeros	51292
Zeros (%)	71.3%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	5063
95-th percentile	73077.8
Maximum	1128775
Range	1128775
Interquartile range (IQR)	5063

Descriptive statistics

Standard deviation	35343.59459
Coefficient of variation (CV)	2.880356109
Kurtosis	89.10906279
Mean	12270.56421
Median Absolute Deviation (MAD)	0
Skewness	6.654912253
Sum	883235212
Variance	1249169679
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	51292	71.3%
30	26	< 0.1%
50	22	< 0.1%
60	17	< 0.1%
90	17	< 0.1%
100	16	< 0.1%
80	9	< 0.1%
40	6	< 0.1%
20	5	< 0.1%
2930	5	< 0.1%
Other values (17938)	20565	28.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	51292	71.3%
1	1	< 0.1%
11	5	< 0.1%
13	2	< 0.1%
14	3	< 0.1%
16	1	< 0.1%
17	5	< 0.1%
18	1	< 0.1%
20	5	< 0.1%
23	1	< 0.1%

Value	Count	Frequency (%)
1128775	1	< 0.1%
1128654	1	< 0.1%
963598	1	< 0.1%
913805	1	< 0.1%
751971	1	< 0.1%
751900	1	< 0.1%
688603	1	< 0.1%
678019	1	< 0.1%
674930	1	< 0.1%
674824	1	< 0.1%

account_days_in_dc_12_24m
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	110
Distinct (%)	0.2%
Missing	8540
Missing (%)	11.9%
Infinite	0
Infinite (%)	0.0%
Mean	0.2271752837

Minimum	0
Maximum	362
Zeros	63242
Zeros (%)	87.9%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	362
Range	362
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	5.658144211
Coefficient of variation (CV)	24.90651323
Kurtosis	1746.878418
Mean	0.2271752837
Median Absolute Deviation (MAD)	0
Skewness	37.44849558
Sum	14412
Variance	32.01459591
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	63242	87.9%
9	8	< 0.1%
7	7	< 0.1%
42	7	< 0.1%
56	7	< 0.1%
99	6	< 0.1%
28	6	< 0.1%
43	5	< 0.1%
67	5	< 0.1%
3	5	< 0.1%
Other values (100)	142	0.2%
(Missing)	8540	11.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	63242	87.9%
1	1	< 0.1%
3	5	< 0.1%
4	1	< 0.1%
7	7	< 0.1%
9	8	< 0.1%
10	2	< 0.1%
11	1	< 0.1%
12	1	< 0.1%
13	3	< 0.1%

Value	Count	Frequency (%)
362	1	< 0.1%
350	2	< 0.1%
322	1	< 0.1%
316	1	< 0.1%
291	1	< 0.1%
276	1	< 0.1%
269	1	< 0.1%
258	1	< 0.1%
233	1	< 0.1%
229	1	< 0.1%

account_days_in_rem_12_24m
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	267
Distinct (%)	0.4%
Missing	8540
Missing (%)	11.9%
Infinite	0
Infinite (%)	0.0%
Mean	5.058638083

Minimum	0
Maximum	365
Zeros	56481
Zeros (%)	78.5%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	31
Maximum	365
Range	365
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	22.9058832
Coefficient of variation (CV)	4.528073135
Kurtosis	75.8536605
Mean	5.058638083
Median Absolute Deviation (MAD)	0
Skewness	7.503342181
Sum	320920
Variance	524.6794853
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	56481	78.5%
1	402	0.6%
2	226	0.3%
21	186	0.3%
15	179	0.2%
16	165	0.2%
3	153	0.2%
22	147	0.2%
14	143	0.2%
7	134	0.2%
Other values (257)	5224	7.3%
(Missing)	8540	11.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	56481	78.5%
1	402	0.6%
2	226	0.3%
3	153	0.2%
4	125	0.2%
5	65	0.1%
6	96	0.1%
7	134	0.2%
8	110	0.2%
9	101	0.1%

Value	Count	Frequency (%)
365	34	< 0.1%
362	1	< 0.1%
358	1	< 0.1%
356	1	< 0.1%
354	2	< 0.1%
351	1	< 0.1%
346	1	< 0.1%
341	1	< 0.1%
337	1	< 0.1%
329	2	< 0.1%

account_days_in_term_12_24m
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	59
Distinct (%)	0.1%
Missing	8540
Missing (%)	11.9%
Infinite	0
Infinite (%)	0.0%
Mean	0.2980769231

Minimum	0
Maximum	97
Zeros	62547
Zeros (%)	86.9%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	97
Range	97
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.992377664
Coefficient of variation (CV)	10.03894442
Kurtosis	185.3377797
Mean	0.2980769231
Median Absolute Deviation (MAD)	0
Skewness	12.32230452
Sum	18910
Variance	8.954324081
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	62547	86.9%
34	212	0.3%
7	39	0.1%
2	37	0.1%
1	32	< 0.1%
11	31	< 0.1%
15	30	< 0.1%
21	28	< 0.1%
23	27	< 0.1%
8	27	< 0.1%
Other values (49)	430	0.6%
(Missing)	8540	11.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	62547	86.9%
1	32	< 0.1%
2	37	0.1%
3	23	< 0.1%
4	18	< 0.1%
5	18	< 0.1%
6	16	< 0.1%
7	39	0.1%
8	27	< 0.1%
9	18	< 0.1%

Value	Count	Frequency (%)
97	2	< 0.1%
91	1	< 0.1%
68	1	< 0.1%
67	1	< 0.1%
65	3	< 0.1%
64	1	< 0.1%
63	4	< 0.1%
60	1	< 0.1%
59	2	< 0.1%
54	4	< 0.1%

account_incoming_debt_vs_paid_0_24m
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	17632
Distinct (%)	60.1%
Missing	42629
Missing (%)	59.2%
Infinite	0
Infinite (%)	0.0%
Mean	1.302860834

Minimum	0
Maximum	3914
Zeros	9460
Zeros (%)	13.1%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.1497843515
Q3	0.6593432561
95-th percentile	2.811104884
Maximum	3914
Range	3914
Interquartile range (IQR)	0.6593432561

Descriptive statistics

Standard deviation	27.43863989
Coefficient of variation (CV)	21.0602999
Kurtosis	14719.3679
Mean	1.302860834
Median Absolute Deviation (MAD)	0.1497843515
Skewness	111.6008925
Sum	38240.26834
Variance	752.8789588
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	9460	13.1%
8.03442623	45	0.1%
2.151462995 × 10^-5	15	< 0.1%
0.004300732717	13	< 0.1%
0.0001136040897	12	< 0.1%
0.003650190114	12	< 0.1%
0.01112487991	10	< 0.1%
1.101746268 × 10^-5	9	< 0.1%
0.03554533105	9	< 0.1%
3.168065896 × 10^-5	9	< 0.1%
Other values (17622)	19757	27.4%
(Missing)	42629	59.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	9460	13.1%
3.788294926 × 10^-6	3	< 0.1%
4.933934615 × 10^-6	2	< 0.1%
6.034529578 × 10^-6	1	< 0.1%
6.170173382 × 10^-6	1	< 0.1%
6.584318786 × 10^-6	1	< 0.1%
7.028048943 × 10^-6	2	< 0.1%
7.389180762 × 10^-6	1	< 0.1%
7.528249757 × 10^-6	1	< 0.1%
7.603406326 × 10^-6	1	< 0.1%

Value	Count	Frequency (%)
3914	1	< 0.1%
1443.48	1	< 0.1%
1435.58	1	< 0.1%
1176.888889	1	< 0.1%
299.7321429	1	< 0.1%
294	1	< 0.1%
245.6086957	1	< 0.1%
238.5789474	1	< 0.1%
233.1166667	1	< 0.1%
201.6252772	1	< 0.1%

account_status
Categorical

MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	39100
Missing (%)	54.3%
Memory size	3.4 MiB

1.0	31524
2.0	1352
3.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	98640
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	31524	43.8%
2.0	1352	1.9%
3.0	4	< 0.1%
(Missing)	39100	54.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	31524	95.9%
2.0	1352	4.1%
3.0	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
.	32880	33.3%
0	32880	33.3%
1	31524	32.0%
2	1352	1.4%
3	4	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	65760	66.7%
Other Punctuation	32880	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32880	50.0%
1	31524	47.9%
2	1352	2.1%
3	4	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	32880	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	98640	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	32880	33.3%
0	32880	33.3%
1	31524	32.0%
2	1352	1.4%
3	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	98640	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	32880	33.3%
0	32880	33.3%
1	31524	32.0%
2	1352	1.4%
3	4	< 0.1%

account_worst_status_0_3m
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	39100
Missing (%)	54.3%
Memory size	3.4 MiB

1.0	27682
2.0	4803
3.0	325
4.0	70

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	98640
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	27682	38.5%
2.0	4803	6.7%
3.0	325	0.5%
4.0	70	0.1%
(Missing)	39100	54.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	27682	84.2%
2.0	4803	14.6%
3.0	325	1.0%
4.0	70	0.2%

Most occurring characters

Value	Count	Frequency (%)
.	32880	33.3%
0	32880	33.3%
1	27682	28.1%
2	4803	4.9%
3	325	0.3%
4	70	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	65760	66.7%
Other Punctuation	32880	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32880	50.0%
1	27682	42.1%
2	4803	7.3%
3	325	0.5%
4	70	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	32880	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	98640	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	32880	33.3%
0	32880	33.3%
1	27682	28.1%
2	4803	4.9%
3	325	0.3%
4	70	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	98640	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	32880	33.3%
0	32880	33.3%
1	27682	28.1%
2	4803	4.9%
3	325	0.3%
4	70	0.1%

account_worst_status_12_24m
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	48018
Missing (%)	66.7%
Memory size	3.2 MiB

1.0	16950
2.0	6085
3.0	728
4.0	199

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	71886
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	16950	23.5%
2.0	6085	8.5%
3.0	728	1.0%
4.0	199	0.3%
(Missing)	48018	66.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	16950	70.7%
2.0	6085	25.4%
3.0	728	3.0%
4.0	199	0.8%

Most occurring characters

Value	Count	Frequency (%)
.	23962	33.3%
0	23962	33.3%
1	16950	23.6%
2	6085	8.5%
3	728	1.0%
4	199	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	47924	66.7%
Other Punctuation	23962	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	23962	50.0%
1	16950	35.4%
2	6085	12.7%
3	728	1.5%
4	199	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	23962	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	71886	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	23962	33.3%
0	23962	33.3%
1	16950	23.6%
2	6085	8.5%
3	728	1.0%
4	199	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	71886	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	23962	33.3%
0	23962	33.3%
1	16950	23.6%
2	6085	8.5%
3	728	1.0%
4	199	0.3%

account_worst_status_3_6m
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	41500
Missing (%)	57.7%
Memory size	3.3 MiB

1.0	25444
2.0	4555
3.0	376
4.0	105

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	91440
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	25444	35.3%
2.0	4555	6.3%
3.0	376	0.5%
4.0	105	0.1%
(Missing)	41500	57.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	25444	83.5%
2.0	4555	14.9%
3.0	376	1.2%
4.0	105	0.3%

Most occurring characters

Value	Count	Frequency (%)
.	30480	33.3%
0	30480	33.3%
1	25444	27.8%
2	4555	5.0%
3	376	0.4%
4	105	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	60960	66.7%
Other Punctuation	30480	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	30480	50.0%
1	25444	41.7%
2	4555	7.5%
3	376	0.6%
4	105	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	30480	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	91440	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	30480	33.3%
0	30480	33.3%
1	25444	27.8%
2	4555	5.0%
3	376	0.4%
4	105	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	91440	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	30480	33.3%
0	30480	33.3%
1	25444	27.8%
2	4555	5.0%
3	376	0.4%
4	105	0.1%

account_worst_status_6_12m
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	43415
Missing (%)	60.3%
Memory size	3.3 MiB

1.0	22129
2.0	5770
3.0	508
4.0	158

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	85695
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	22129	30.7%
2.0	5770	8.0%
3.0	508	0.7%
4.0	158	0.2%
(Missing)	43415	60.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	22129	77.5%
2.0	5770	20.2%
3.0	508	1.8%
4.0	158	0.6%

Most occurring characters

Value	Count	Frequency (%)
.	28565	33.3%
0	28565	33.3%
1	22129	25.8%
2	5770	6.7%
3	508	0.6%
4	158	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	57130	66.7%
Other Punctuation	28565	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	28565	50.0%
1	22129	38.7%
2	5770	10.1%
3	508	0.9%
4	158	0.3%

Other Punctuation

Value	Count	Frequency (%)
.	28565	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	85695	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	28565	33.3%
0	28565	33.3%
1	22129	25.8%
2	5770	6.7%
3	508	0.6%
4	158	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	85695	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	28565	33.3%
0	28565	33.3%
1	22129	25.8%
2	5770	6.7%
3	508	0.6%
4	158	0.2%

age
Real number (ℝ_≥0)

Distinct	76
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35.99709642

Minimum	18
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	18
5-th percentile	19
Q1	25
median	34
Q3	45
95-th percentile	60
Maximum	100
Range	82
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	12.97373151
Coefficient of variation (CV)	0.3604104997
Kurtosis	-0.04685975442
Mean	35.99709642
Median Absolute Deviation (MAD)	10
Skewness	0.689950009
Sum	2591071
Variance	168.3177092
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18	2629	3.7%
22	2502	3.5%
21	2489	3.5%
23	2356	3.3%
20	2328	3.2%
24	2190	3.0%
25	2181	3.0%
28	2174	3.0%
30	2147	3.0%
29	2140	3.0%
Other values (66)	48844	67.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
18	2629	3.7%
19	1909	2.7%
20	2328	3.2%
21	2489	3.5%
22	2502	3.5%
23	2356	3.3%
24	2190	3.0%
25	2181	3.0%
26	2104	2.9%
27	2125	3.0%

Value	Count	Frequency (%)
100	1	< 0.1%
95	1	< 0.1%
93	1	< 0.1%
91	1	< 0.1%
89	2	< 0.1%
88	4	< 0.1%
87	4	< 0.1%
86	12	< 0.1%
85	9	< 0.1%
84	8	< 0.1%

avg_payment_span_0_12m
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	6823
Distinct (%)	12.4%
Missing	17086
Missing (%)	23.7%
Infinite	0
Infinite (%)	0.0%
Mean	17.95736194

Minimum	0
Maximum	260
Zeros	364
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	5.074306122
Q1	10.8
median	14.875
Q3	21
95-th percentile	41
Maximum	260
Range	260
Interquartile range (IQR)	10.2

Descriptive statistics

Standard deviation	12.78122679
Coefficient of variation (CV)	0.7117541444
Kurtosis	21.70483658
Mean	17.95736194
Median Absolute Deviation (MAD)	4.875
Skewness	3.270446315
Sum	985751.4265
Variance	163.3597581
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14	1521	2.1%
13	1328	1.8%
12	892	1.2%
15	887	1.2%
16	842	1.2%
11	777	1.1%
10	759	1.1%
9	692	1.0%
17	682	0.9%
7	633	0.9%
Other values (6813)	45881	63.7%
(Missing)	17086	23.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	364	0.5%
0.1666666667	2	< 0.1%
0.2	1	< 0.1%
0.2222222222	1	< 0.1%
0.25	3	< 0.1%
0.3333333333	9	< 0.1%
0.375	1	< 0.1%
0.5	31	< 0.1%
0.5161290323	2	< 0.1%
0.5517241379	2	< 0.1%

Value	Count	Frequency (%)
260	1	< 0.1%
224	1	< 0.1%
204	1	< 0.1%
187	1	< 0.1%
184	1	< 0.1%
182	1	< 0.1%
174	1	< 0.1%
169	1	< 0.1%
167	1	< 0.1%
166	1	< 0.1%

avg_payment_span_0_3m
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	1981
Distinct (%)	5.4%
Missing	35356
Missing (%)	49.1%
Infinite	0
Infinite (%)	0.0%
Mean	14.96032523

Minimum	0
Maximum	84
Zeros	584
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	8.469607843
median	13
Q3	18.2
95-th percentile	36
Maximum	84
Range	84
Interquartile range (IQR)	9.730392157

Descriptive statistics

Standard deviation	10.21566225
Coefficient of variation (CV)	0.6828502786
Kurtosis	4.692599538
Mean	14.96032523
Median Absolute Deviation (MAD)	5
Skewness	1.762772749
Sum	547906.9513
Variance	104.3597552
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14	2013	2.8%
13	1666	2.3%
12	954	1.3%
16	954	1.3%
7	949	1.3%
6	945	1.3%
15	911	1.3%
10	892	1.2%
11	888	1.2%
9	823	1.1%
Other values (1971)	25629	35.6%
(Missing)	35356	49.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	584	0.8%
0.1666666667	2	< 0.1%
0.2	1	< 0.1%
0.25	2	< 0.1%
0.2857142857	1	< 0.1%
0.3333333333	8	< 0.1%
0.3636363636	1	< 0.1%
0.3888888889	1	< 0.1%
0.4	1	< 0.1%
0.4117647059	1	< 0.1%

Value	Count	Frequency (%)
84	4	< 0.1%
83	4	< 0.1%
81	1	< 0.1%
80	2	< 0.1%
78	2	< 0.1%
77.5	1	< 0.1%
77	3	< 0.1%
76	5	< 0.1%
75	5	< 0.1%
74	3	< 0.1%

default
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.1 MiB

0.0	70950
1.0	1030

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	215940
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	70950	98.6%
1.0	1030	1.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	70950	98.6%
1.0	1030	1.4%

Most occurring characters

Value	Count	Frequency (%)
0	142930	66.2%
.	71980	33.3%
1	1030	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	143960	66.7%
Other Punctuation	71980	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	142930	99.3%
1	1030	0.7%

Other Punctuation

Value	Count	Frequency (%)
.	71980	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	215940	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	142930	66.2%
.	71980	33.3%
1	1030	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	215940	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	142930	66.2%
.	71980	33.3%
1	1030	0.5%

has_paid
Boolean

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	70.4 KiB

True	61327
False	10653

Common Values
Chart

Value	Count	Frequency (%)
True	61327	85.2%
False	10653	14.8%

max_paid_inv_0_12m
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	10969
Distinct (%)	15.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9253.319533

Minimum	0
Maximum	279000
Zeros	15535
Zeros (%)	21.6%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2075
median	6070
Q3	11390
95-th percentile	29500
Maximum	279000
Range	279000
Interquartile range (IQR)	9315

Descriptive statistics

Standard deviation	13607.10088
Coefficient of variation (CV)	1.470510214
Kurtosis	55.60228917
Mean	9253.319533
Median Absolute Deviation (MAD)	4780
Skewness	5.638095311
Sum	666053940
Variance	185153194.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	15535	21.6%
5290	306	0.4%
895	289	0.4%
4290	264	0.4%
5000	202	0.3%
6790	202	0.3%
4790	197	0.3%
3290	197	0.3%
2290	186	0.3%
6290	174	0.2%
Other values (10959)	54428	75.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	15535	21.6%
90	1	< 0.1%
175	1	< 0.1%
210	1	< 0.1%
270	2	< 0.1%
290	1	< 0.1%
295	2	< 0.1%
300	3	< 0.1%
320	1	< 0.1%
360	2	< 0.1%

Value	Count	Frequency (%)
279000	1	< 0.1%
270295	1	< 0.1%
264300	2	< 0.1%
260395	1	< 0.1%
245110	2	< 0.1%
235790	2	< 0.1%
233890	5	< 0.1%
230545	1	< 0.1%
229850	1	< 0.1%
219600	2	< 0.1%

max_paid_inv_0_24m
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	11389
Distinct (%)	15.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11276.92827

Minimum	0
Maximum	279000
Zeros	12626
Zeros (%)	17.5%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3374.5
median	7590
Q3	13865
95-th percentile	34500
Maximum	279000
Range	279000
Interquartile range (IQR)	10490.5

Descriptive statistics

Standard deviation	15312.45653
Coefficient of variation (CV)	1.357857048
Kurtosis	43.57179086
Mean	11276.92827
Median Absolute Deviation (MAD)	5020
Skewness	5.057089714
Sum	811713297
Variance	234471325
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	12626	17.5%
5290	305	0.4%
4290	201	0.3%
3290	183	0.3%
6290	180	0.3%
5000	178	0.2%
9290	176	0.2%
6790	173	0.2%
895	167	0.2%
4790	158	0.2%
Other values (11379)	57633	80.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	12626	17.5%
90	1	< 0.1%
210	1	< 0.1%
270	1	< 0.1%
295	2	< 0.1%
300	3	< 0.1%
320	1	< 0.1%
370	1	< 0.1%
380	1	< 0.1%
390	5	< 0.1%

Value	Count	Frequency (%)
279000	1	< 0.1%
270295	1	< 0.1%
264300	2	< 0.1%
260395	1	< 0.1%
245110	2	< 0.1%
235790	2	< 0.1%
234995	1	< 0.1%
233890	5	< 0.1%
230545	5	< 0.1%
229850	1	< 0.1%

merchant_category
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	56
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.5 MiB

Diversified entertainment	27852
Youthful Shoes & Clothing	8335
Books & Magazines	6733
General Shoes & Clothing	3359
Concept stores & Miscellaneous	3135
Other values (51)	22566

Length

Max length	55
Median length	25
Mean length	23.57557655
Min length	3

Characters and Unicode

Total characters	1696970
Distinct characters	55
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Diversified entertainment
2nd row	Youthful Shoes & Clothing
3rd row	Diversified entertainment
4th row	Diversified entertainment
5th row	Sports gear & Outdoor

Common Values

Value	Count	Frequency (%)
Diversified entertainment	27852	38.7%
Youthful Shoes & Clothing	8335	11.6%
Books & Magazines	6733	9.4%
General Shoes & Clothing	3359	4.7%
Concept stores & Miscellaneous	3135	4.4%
Sports gear & Outdoor	2666	3.7%
Dietary supplements	2219	3.1%
Diversified children products	2171	3.0%
Diversified electronics	1325	1.8%
Prints & Photos	1200	1.7%
Other values (46)	12985	18.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
diversified	32936	16.1%
	32709	16.0%
entertainment	27852	13.6%
clothing	11976	5.8%
shoes	11918	5.8%
youthful	8335	4.1%
books	6733	3.3%
magazines	6733	3.3%
products	4666	2.3%
children	3713	1.8%
Other values (89)	57403	28.0%

Most occurring characters

Value	Count	Frequency (%)
e	230995	13.6%
i	172360	10.2%
t	145418	8.6%
	132994	7.8%
n	126983	7.5%
r	104344	6.1%
s	104043	6.1%
o	85781	5.1%
a	65323	3.8%
d	47736	2.8%
Other values (45)	480993	28.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1410397	83.1%
Space Separator	132994	7.8%
Uppercase Letter	120644	7.1%
Other Punctuation	32789	1.9%
Open Punctuation	73	< 0.1%
Close Punctuation	73	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	230995	16.4%
i	172360	12.2%
t	145418	10.3%
n	126983	9.0%
r	104344	7.4%
s	104043	7.4%
o	85781	6.1%
a	65323	4.6%
d	47736	3.4%
l	45826	3.2%
Other values (15)	281588	20.0%

Uppercase Letter

Value	Count	Frequency (%)
D	36311	30.1%
C	19056	15.8%
S	14665	12.2%
M	10094	8.4%
B	8442	7.0%
Y	8335	6.9%
P	5245	4.3%
G	4358	3.6%
H	2775	2.3%
O	2675	2.2%
Other values (13)	8688	7.2%

Other Punctuation

Value	Count	Frequency (%)
&	32709	99.8%
/	64	0.2%
.	9	< 0.1%
,	7	< 0.1%

Space Separator

Value	Count	Frequency (%)
	132994	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	73	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	73	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1531041	90.2%
Common	165929	9.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	230995	15.1%
i	172360	11.3%
t	145418	9.5%
n	126983	8.3%
r	104344	6.8%
s	104043	6.8%
o	85781	5.6%
a	65323	4.3%
d	47736	3.1%
l	45826	3.0%
Other values (38)	402232	26.3%

Common

Value	Count	Frequency (%)
	132994	80.2%
&	32709	19.7%
(	73	< 0.1%
)	73	< 0.1%
/	64	< 0.1%
.	9	< 0.1%
,	7	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1696970	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	230995	13.6%
i	172360	10.2%
t	145418	8.6%
	132994	7.8%
n	126983	7.5%
r	104344	6.1%
s	104043	6.1%
o	85781	5.1%
a	65323	3.8%
d	47736	2.8%
Other values (45)	480993	28.3%

merchant_group
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.9 MiB

Entertainment	35151
Clothing & Shoes	11979
Leisure, Sport & Hobby	7895
Health & Beauty	5302
Children Products	3713
Other values (7)	7940

Length

Max length	22
Median length	13
Mean length	15.01772715
Min length	11

Characters and Unicode

Total characters	1080976
Distinct characters	36
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Entertainment
2nd row	Clothing & Shoes
3rd row	Entertainment
4th row	Entertainment
5th row	Leisure, Sport & Hobby

Common Values

Value	Count	Frequency (%)
Entertainment	35151	48.8%
Clothing & Shoes	11979	16.6%
Leisure, Sport & Hobby	7895	11.0%
Health & Beauty	5302	7.4%
Children Products	3713	5.2%
Home & Garden	2701	3.8%
Electronics	2182	3.0%
Intangible products	813	1.1%
Jewelry & Accessories	757	1.1%
Automotive Products	676	0.9%
Other values (2)	811	1.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
entertainment	35151	24.5%
	28905	20.2%
clothing	11979	8.4%
shoes	11979	8.4%
sport	7895	5.5%
leisure	7895	5.5%
hobby	7895	5.5%
beauty	5302	3.7%
health	5302	3.7%
products	5202	3.6%
Other values (12)	15922	11.1%

Most occurring characters

Value	Count	Frequency (%)
t	146560	13.6%
n	127654	11.8%
e	125842	11.6%
	71447	6.6%
r	67604	6.3%
i	64246	5.9%
o	53024	4.9%
a	50620	4.7%
m	38528	3.6%
E	37873	3.5%
Other values (26)	297578	27.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	859020	79.5%
Uppercase Letter	113709	10.5%
Space Separator	71447	6.6%
Other Punctuation	36800	3.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	146560	17.1%
n	127654	14.9%
e	125842	14.6%
r	67604	7.9%
i	64246	7.5%
o	53024	6.2%
a	50620	5.9%
m	38528	4.5%
h	32973	3.8%
s	30069	3.5%
Other values (10)	121900	14.2%

Uppercase Letter

Value	Count	Frequency (%)
E	37873	33.3%
S	19874	17.5%
H	15898	14.0%
C	15692	13.8%
L	7895	6.9%
B	5573	4.9%
P	4389	3.9%
G	2701	2.4%
A	1433	1.3%
I	813	0.7%
Other values (3)	1568	1.4%

Other Punctuation

Value	Count	Frequency (%)
&	28905	78.5%
,	7895	21.5%

Space Separator

Value	Count	Frequency (%)
	71447	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	972729	90.0%
Common	108247	10.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	146560	15.1%
n	127654	13.1%
e	125842	12.9%
r	67604	6.9%
i	64246	6.6%
o	53024	5.5%
a	50620	5.2%
m	38528	4.0%
E	37873	3.9%
h	32973	3.4%
Other values (23)	227805	23.4%

Common

Value	Count	Frequency (%)
	71447	66.0%
&	28905	26.7%
,	7895	7.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1080976	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	146560	13.6%
n	127654	11.8%
e	125842	11.6%
	71447	6.6%
r	67604	6.3%
i	64246	5.9%
o	53024	4.9%
a	50620	4.7%
m	38528	3.6%
E	37873	3.5%
Other values (26)	297578	27.5%

name_in_email
Categorical

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

F+L	29092
no_match	12149
L1+F	11553
F	7012
Nick	5968
Other values (3)	6206

Length

Max length	8
Median length	3
Mean length	3.940733537
Min length	1

Characters and Unicode

Total characters	283654
Distinct characters	18
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	L1+F
2nd row	F1+L
3rd row	no_match
4th row	F+L
5th row	no_match

Common Values

Value	Count	Frequency (%)
F+L	29092	40.4%
no_match	12149	16.9%
L1+F	11553	16.1%
F	7012	9.7%
Nick	5968	8.3%
F1+L	5255	7.3%
L	934	1.3%
Initials	17	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
f+l	29092	40.4%
no_match	12149	16.9%
l1+f	11553	16.1%
f	7012	9.7%
nick	5968	8.3%
f1+l	5255	7.3%
l	934	1.3%
initials	17	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
F	52912	18.7%
L	46834	16.5%
+	45900	16.2%
c	18117	6.4%
1	16808	5.9%
n	12166	4.3%
a	12166	4.3%
t	12166	4.3%
o	12149	4.3%
_	12149	4.3%
Other values (8)	42287	14.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	105731	37.3%
Lowercase Letter	103066	36.3%
Math Symbol	45900	16.2%
Decimal Number	16808	5.9%
Connector Punctuation	12149	4.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
c	18117	17.6%
n	12166	11.8%
a	12166	11.8%
t	12166	11.8%
o	12149	11.8%
m	12149	11.8%
h	12149	11.8%
i	6002	5.8%
k	5968	5.8%
l	17	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
F	52912	50.0%
L	46834	44.3%
N	5968	5.6%
I	17	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	16808	100.0%

Math Symbol

Value	Count	Frequency (%)
+	45900	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	12149	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	208797	73.6%
Common	74857	26.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
F	52912	25.3%
L	46834	22.4%
c	18117	8.7%
n	12166	5.8%
a	12166	5.8%
t	12166	5.8%
o	12149	5.8%
m	12149	5.8%
h	12149	5.8%
i	6002	2.9%
Other values (5)	11987	5.7%

Common

Value	Count	Frequency (%)
+	45900	61.3%
1	16808	22.5%
_	12149	16.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	283654	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
F	52912	18.7%
L	46834	16.5%
+	45900	16.2%
c	18117	6.4%
1	16808	5.9%
n	12166	4.3%
a	12166	4.3%
t	12166	4.3%
o	12149	4.3%
_	12149	4.3%
Other values (8)	42287	14.9%

num_active_div_by_paid_inv_0_12m
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	757
Distinct (%)	1.4%
Missing	16438
Missing (%)	22.8%
Infinite	0
Infinite (%)	0.0%
Mean	0.1145715226

Minimum	0
Maximum	9
Zeros	35071
Zeros (%)	48.7%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.1
95-th percentile	0.5
Maximum	9
Range	9
Interquartile range (IQR)	0.1

Descriptive statistics

Standard deviation	0.2937883913
Coefficient of variation (CV)	2.564235726
Kurtosis	89.17913151
Mean	0.1145715226
Median Absolute Deviation (MAD)	0
Skewness	6.552729123
Sum	6363.531506
Variance	0.08631161886
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	35071	48.7%
1	1746	2.4%
0.5	1605	2.2%
0.3333333333	1405	2.0%
0.25	1188	1.7%
0.2	1084	1.5%
0.1666666667	925	1.3%
0.1428571429	790	1.1%
0.125	655	0.9%
0.1111111111	607	0.8%
Other values (747)	10466	14.5%
(Missing)	16438	22.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	35071	48.7%
0.006666666667	1	< 0.1%
0.007142857143	1	< 0.1%
0.007299270073	2	< 0.1%
0.007518796992	1	< 0.1%
0.007936507937	4	< 0.1%
0.008474576271	1	< 0.1%
0.008547008547	1	< 0.1%
0.009174311927	3	< 0.1%
0.009259259259	3	< 0.1%

Value	Count	Frequency (%)
9	2	< 0.1%
8	1	< 0.1%
7	1	< 0.1%
6	3	< 0.1%
5	8	< 0.1%
4.5	1	< 0.1%
4	9	< 0.1%
3.5	2	< 0.1%
3	53	0.1%
2.5	6	< 0.1%

num_active_inv
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	36
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.5955959989

Minimum	0
Maximum	38
Zeros	49970
Zeros (%)	69.4%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	38
Range	38
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.510762935
Coefficient of variation (CV)	2.536556554
Kurtosis	101.1680825
Mean	0.5955959989
Median Absolute Deviation (MAD)	0
Skewness	7.632149593
Sum	42871
Variance	2.282404645
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
0	49970	69.4%
1	13351	18.5%
2	4566	6.3%
3	1840	2.6%
4	864	1.2%
5	462	0.6%
6	274	0.4%
7	155	0.2%
8	115	0.2%
9	80	0.1%
Other values (26)	303	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	49970	69.4%
1	13351	18.5%
2	4566	6.3%
3	1840	2.6%
4	864	1.2%
5	462	0.6%
6	274	0.4%
7	155	0.2%
8	115	0.2%
9	80	0.1%

Value	Count	Frequency (%)
38	1	< 0.1%
37	2	< 0.1%
35	1	< 0.1%
33	3	< 0.1%
31	1	< 0.1%
30	1	< 0.1%
29	2	< 0.1%
28	4	< 0.1%
27	5	< 0.1%
26	9	< 0.1%

num_arch_dc_0_12m
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.0614059461

Minimum	0
Maximum	16
Zeros	68934
Zeros (%)	95.8%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	16
Range	16
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.3744909662
Coefficient of variation (CV)	6.098610803
Kurtosis	261.3837717
Mean	0.0614059461
Median Absolute Deviation (MAD)	0
Skewness	12.32458835
Sum	4420
Variance	0.1402434838
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	68934	95.8%
1	2292	3.2%
2	483	0.7%
3	141	0.2%
4	53	0.1%
6	28	< 0.1%
5	22	< 0.1%
7	11	< 0.1%
10	4	< 0.1%
13	4	< 0.1%
Other values (4)	8	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	68934	95.8%
1	2292	3.2%
2	483	0.7%
3	141	0.2%
4	53	0.1%
5	22	< 0.1%
6	28	< 0.1%
7	11	< 0.1%
8	3	< 0.1%
9	2	< 0.1%

Value	Count	Frequency (%)
16	1	< 0.1%
13	4	< 0.1%
11	2	< 0.1%
10	4	< 0.1%
9	2	< 0.1%
8	3	< 0.1%
7	11	< 0.1%
6	28	< 0.1%
5	22	< 0.1%
4	53	0.1%

num_arch_dc_12_24m
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.05990552931

Minimum	0
Maximum	13
Zeros	69104
Zeros (%)	96.0%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	13
Range	13
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.3714570587
Coefficient of variation (CV)	6.200714074
Kurtosis	193.7285193
Mean	0.05990552931
Median Absolute Deviation (MAD)	0
Skewness	11.15982659
Sum	4312
Variance	0.1379803465
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
0	69104	96.0%
1	2092	2.9%
2	488	0.7%
3	141	0.2%
4	75	0.1%
5	35	< 0.1%
7	16	< 0.1%
6	13	< 0.1%
10	6	< 0.1%
8	4	< 0.1%
Other values (3)	6	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	69104	96.0%
1	2092	2.9%
2	488	0.7%
3	141	0.2%
4	75	0.1%
5	35	< 0.1%
6	13	< 0.1%
7	16	< 0.1%
8	4	< 0.1%
9	2	< 0.1%

Value	Count	Frequency (%)
13	1	< 0.1%
11	3	< 0.1%
10	6	< 0.1%
9	2	< 0.1%
8	4	< 0.1%
7	16	< 0.1%
6	13	< 0.1%
5	35	< 0.1%
4	75	0.1%
3	141	0.2%

num_arch_ok_0_12m
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	193
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.306335093

Minimum	0
Maximum	248
Zeros	19662
Zeros (%)	27.3%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	7
95-th percentile	31
Maximum	248
Range	248
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	15.93694826
Coefficient of variation (CV)	2.181250662
Kurtosis	43.83347953
Mean	7.306335093
Median Absolute Deviation (MAD)	2
Skewness	5.596989712
Sum	525910
Variance	253.9863198
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	19662	27.3%
1	10048	14.0%
2	7139	9.9%
3	5340	7.4%
4	4168	5.8%
5	3408	4.7%
6	2783	3.9%
7	2225	3.1%
8	1813	2.5%
9	1587	2.2%
Other values (183)	13807	19.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	19662	27.3%
1	10048	14.0%
2	7139	9.9%
3	5340	7.4%
4	4168	5.8%
5	3408	4.7%
6	2783	3.9%
7	2225	3.1%
8	1813	2.5%
9	1587	2.2%

Value	Count	Frequency (%)
248	1	< 0.1%
247	1	< 0.1%
231	1	< 0.1%
225	4	< 0.1%
224	1	< 0.1%
223	4	< 0.1%
222	4	< 0.1%
221	2	< 0.1%
220	4	< 0.1%
219	3	< 0.1%

num_arch_ok_12_24m
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	194
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.373978883

Minimum	0
Maximum	313
Zeros	27188
Zeros (%)	37.8%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	6
95-th percentile	28
Maximum	313
Range	313
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	15.26527626
Coefficient of variation (CV)	2.394936748
Kurtosis	81.48912307
Mean	6.373978883
Median Absolute Deviation (MAD)	2
Skewness	7.073678481
Sum	458799
Variance	233.0286592
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	27188	37.8%
1	8005	11.1%
2	5911	8.2%
3	4563	6.3%
4	3510	4.9%
5	2963	4.1%
6	2449	3.4%
7	1986	2.8%
8	1703	2.4%
9	1379	1.9%
Other values (184)	12323	17.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	27188	37.8%
1	8005	11.1%
2	5911	8.2%
3	4563	6.3%
4	3510	4.9%
5	2963	4.1%
6	2449	3.4%
7	1986	2.8%
8	1703	2.4%
9	1379	1.9%

Value	Count	Frequency (%)
313	1	< 0.1%
304	1	< 0.1%
302	1	< 0.1%
301	1	< 0.1%
293	4	< 0.1%
292	2	< 0.1%
290	1	< 0.1%
288	1	< 0.1%
278	1	< 0.1%
277	2	< 0.1%

num_arch_rem_0_12m
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4661433732

Minimum	0
Maximum	42
Zeros	55234
Zeros (%)	76.7%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	42
Range	42
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.337337993
Coefficient of variation (CV)	2.868941339
Kurtosis	133.1969629
Mean	0.4661433732
Median Absolute Deviation (MAD)	0
Skewness	8.33316867
Sum	33553
Variance	1.788472907
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
0	55234	76.7%
1	9698	13.5%
2	3484	4.8%
3	1623	2.3%
4	820	1.1%
5	409	0.6%
6	219	0.3%
7	157	0.2%
8	84	0.1%
9	60	0.1%
Other values (21)	192	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	55234	76.7%
1	9698	13.5%
2	3484	4.8%
3	1623	2.3%
4	820	1.1%
5	409	0.6%
6	219	0.3%
7	157	0.2%
8	84	0.1%
9	60	0.1%

Value	Count	Frequency (%)
42	3	< 0.1%
39	1	< 0.1%
29	6	< 0.1%
27	2	< 0.1%
26	4	< 0.1%
25	2	< 0.1%
24	12	< 0.1%
23	5	< 0.1%
22	1	< 0.1%
21	7	< 0.1%

num_arch_written_off_0_12m
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	12957
Missing (%)	18.0%
Memory size	3.9 MiB

0.0	59018
1.0	5

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	177069
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	59018	82.0%
1.0	5	< 0.1%
(Missing)	12957	18.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	59018	> 99.9%
1.0	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	118041	66.7%
.	59023	33.3%
1	5	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	118046	66.7%
Other Punctuation	59023	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	118041	> 99.9%
1	5	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	59023	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	177069	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	118041	66.7%
.	59023	33.3%
1	5	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	177069	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	118041	66.7%
.	59023	33.3%
1	5	< 0.1%

num_arch_written_off_12_24m
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	12957
Missing (%)	18.0%
Memory size	3.9 MiB

0.0	59015
1.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	177069
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	59015	82.0%
1.0	8	< 0.1%
(Missing)	12957	18.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	59015	> 99.9%
1.0	8	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	118038	66.7%
.	59023	33.3%
1	8	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	118046	66.7%
Other Punctuation	59023	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	118038	> 99.9%
1	8	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	59023	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	177069	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	118038	66.7%
.	59023	33.3%
1	8	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	177069	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	118038	66.7%
.	59023	33.3%
1	8	< 0.1%

num_unpaid_bills
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	125
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.129035843

Minimum	0
Maximum	182
Zeros	37379
Zeros (%)	51.9%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	10
Maximum	182
Range	182
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	6.182115901
Coefficient of variation (CV)	2.903716215
Kurtosis	164.6684265
Mean	2.129035843
Median Absolute Deviation (MAD)	0
Skewness	10.08719976
Sum	153248
Variance	38.21855701
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	37379	51.9%
1	13936	19.4%
2	6667	9.3%
3	3628	5.0%
4	2178	3.0%
5	1471	2.0%
6	1075	1.5%
7	838	1.2%
8	637	0.9%
9	556	0.8%
Other values (115)	3615	5.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	37379	51.9%
1	13936	19.4%
2	6667	9.3%
3	3628	5.0%
4	2178	3.0%
5	1471	2.0%
6	1075	1.5%
7	838	1.2%
8	637	0.9%
9	556	0.8%

Value	Count	Frequency (%)
182	1	< 0.1%
160	1	< 0.1%
159	1	< 0.1%
158	1	< 0.1%
153	1	< 0.1%
152	1	< 0.1%
149	1	< 0.1%
147	1	< 0.1%
146	1	< 0.1%
145	1	< 0.1%

recovery_debt
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	87
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.592095026

Minimum	0
Maximum	11190
Zeros	71821
Zeros (%)	99.8%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	11190
Range	11190
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	106.7059935
Coefficient of variation (CV)	29.70578249
Kurtosis	3564.299923
Mean	3.592095026
Median Absolute Deviation (MAD)	0
Skewness	51.15070937
Sum	258559
Variance	11386.16906
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	71821	99.8%
500	30	< 0.1%
1000	18	< 0.1%
1500	6	< 0.1%
2190	4	< 0.1%
601	3	< 0.1%
2580	3	< 0.1%
1939	3	< 0.1%
1018	3	< 0.1%
2612	2	< 0.1%
Other values (77)	87	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	71821	99.8%
47	1	< 0.1%
90	1	< 0.1%
99	1	< 0.1%
348	1	< 0.1%
500	30	< 0.1%
530	1	< 0.1%
531	2	< 0.1%
563	1	< 0.1%
573	1	< 0.1%

Value	Count	Frequency (%)
11190	1	< 0.1%
7910	1	< 0.1%
7200	2	< 0.1%
6630	1	< 0.1%
6285	1	< 0.1%
6065	1	< 0.1%
5590	1	< 0.1%
4900	1	< 0.1%
3985	1	< 0.1%
3895	1	< 0.1%

row_id
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	71980
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	45056.1569

Minimum	0
Maximum	89975
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	4538.9
Q1	22623.5
median	45056.5
Q3	67485.75
95-th percentile	85479.05
Maximum	89975
Range	89975
Interquartile range (IQR)	44862.25

Descriptive statistics

Standard deviation	25935.85702
Coefficient of variation (CV)	0.5756340266
Kurtosis	-1.196899398
Mean	45056.1569
Median Absolute Deviation (MAD)	22432
Skewness	-0.003382878361
Sum	3243142174
Variance	672668679.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
3371	1	< 0.1%
50482	1	< 0.1%
56625	1	< 0.1%
54576	1	< 0.1%
9518	1	< 0.1%
15661	1	< 0.1%
13612	1	< 0.1%
1322	1	< 0.1%
58678	1	< 0.1%
Other values (71970)	71970	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%
11	1	< 0.1%

Value	Count	Frequency (%)
89975	1	< 0.1%
89974	1	< 0.1%
89972	1	< 0.1%
89969	1	< 0.1%
89968	1	< 0.1%
89967	1	< 0.1%
89965	1	< 0.1%
89964	1	< 0.1%
89963	1	< 0.1%
89962	1	< 0.1%

status_2nd_last_archived_0_24m
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.0 MiB

1	45280
0	20052
2	5585
3	1062
5	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	71980
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	45280	62.9%
0	20052	27.9%
2	5585	7.8%
3	1062	1.5%
5	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	45280	62.9%
0	20052	27.9%
2	5585	7.8%
3	1062	1.5%
5	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	45280	62.9%
0	20052	27.9%
2	5585	7.8%
3	1062	1.5%
5	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	71980	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	45280	62.9%
0	20052	27.9%
2	5585	7.8%
3	1062	1.5%
5	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	71980	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	45280	62.9%
0	20052	27.9%
2	5585	7.8%
3	1062	1.5%
5	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	71980	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	45280	62.9%
0	20052	27.9%
2	5585	7.8%
3	1062	1.5%
5	1	< 0.1%

status_3rd_last_archived_0_24m
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.0 MiB

1	41183
0	24953
2	4927
3	914
5	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	71980
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	41183	57.2%
0	24953	34.7%
2	4927	6.8%
3	914	1.3%
5	3	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	41183	57.2%
0	24953	34.7%
2	4927	6.8%
3	914	1.3%
5	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	41183	57.2%
0	24953	34.7%
2	4927	6.8%
3	914	1.3%
5	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	71980	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	41183	57.2%
0	24953	34.7%
2	4927	6.8%
3	914	1.3%
5	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	71980	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	41183	57.2%
0	24953	34.7%
2	4927	6.8%
3	914	1.3%
5	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	71980	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	41183	57.2%
0	24953	34.7%
2	4927	6.8%
3	914	1.3%
5	3	< 0.1%

status_last_archived_0_24m
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.0 MiB

1	51806
0	13430
2	5617
3	1127

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	71980
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	51806	72.0%
0	13430	18.7%
2	5617	7.8%
3	1127	1.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	51806	72.0%
0	13430	18.7%
2	5617	7.8%
3	1127	1.6%

Most occurring characters

Value	Count	Frequency (%)
1	51806	72.0%
0	13430	18.7%
2	5617	7.8%
3	1127	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	71980	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	51806	72.0%
0	13430	18.7%
2	5617	7.8%
3	1127	1.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	71980	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	51806	72.0%
0	13430	18.7%
2	5617	7.8%
3	1127	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	71980	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	51806	72.0%
0	13430	18.7%
2	5617	7.8%
3	1127	1.6%

status_max_archived_0_12_months
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.0 MiB

1	36777
0	17248
2	14880
3	3070
5	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	71980
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	36777	51.1%
0	17248	24.0%
2	14880	20.7%
3	3070	4.3%
5	5	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	36777	51.1%
0	17248	24.0%
2	14880	20.7%
3	3070	4.3%
5	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	36777	51.1%
0	17248	24.0%
2	14880	20.7%
3	3070	4.3%
5	5	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	71980	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	36777	51.1%
0	17248	24.0%
2	14880	20.7%
3	3070	4.3%
5	5	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	71980	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	36777	51.1%
0	17248	24.0%
2	14880	20.7%
3	3070	4.3%
5	5	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	71980	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	36777	51.1%
0	17248	24.0%
2	14880	20.7%
3	3070	4.3%
5	5	< 0.1%

status_max_archived_0_24_months
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.0 MiB

1	33955
2	19465
0	13430
3	5117
5	13

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	71980
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	33955	47.2%
2	19465	27.0%
0	13430	18.7%
3	5117	7.1%
5	13	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	33955	47.2%
2	19465	27.0%
0	13430	18.7%
3	5117	7.1%
5	13	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	33955	47.2%
2	19465	27.0%
0	13430	18.7%
3	5117	7.1%
5	13	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	71980	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	33955	47.2%
2	19465	27.0%
0	13430	18.7%
3	5117	7.1%
5	13	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	71980	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	33955	47.2%
2	19465	27.0%
0	13430	18.7%
3	5117	7.1%
5	13	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	71980	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	33955	47.2%
2	19465	27.0%
0	13430	18.7%
3	5117	7.1%
5	13	< 0.1%

status_max_archived_0_6_months
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.0 MiB

1	35710
0	25858
2	9140
3	1272

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	71980
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	35710	49.6%
0	25858	35.9%
2	9140	12.7%
3	1272	1.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	35710	49.6%
0	25858	35.9%
2	9140	12.7%
3	1272	1.8%

Most occurring characters

Value	Count	Frequency (%)
1	35710	49.6%
0	25858	35.9%
2	9140	12.7%
3	1272	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	71980	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	35710	49.6%
0	25858	35.9%
2	9140	12.7%
3	1272	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	71980	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	35710	49.6%
0	25858	35.9%
2	9140	12.7%
3	1272	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	71980	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	35710	49.6%
0	25858	35.9%
2	9140	12.7%
3	1272	1.8%

sum_capital_paid_account_0_12m
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	17724
Distinct (%)	24.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10876.88586

Minimum	0
Maximum	571475
Zeros	47492
Zeros (%)	66.0%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	9046.75
95-th percentile	58872.05
Maximum	571475
Range	571475
Interquartile range (IQR)	9046.75

Descriptive statistics

Standard deviation	26529.48399
Coefficient of variation (CV)	2.439069816
Kurtosis	38.17626435
Mean	10876.88586
Median Absolute Deviation (MAD)	0
Skewness	4.833067879
Sum	782918244
Variance	703813520.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	47492	66.0%
300	33	< 0.1%
2990	28	< 0.1%
700	19	< 0.1%
3385	18	< 0.1%
31067	17	< 0.1%
2641	16	< 0.1%
6900	15	< 0.1%
46084	15	< 0.1%
5980	15	< 0.1%
Other values (17714)	24312	33.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	47492	66.0%
1	3	< 0.1%
2	2	< 0.1%
3	13	< 0.1%
4	10	< 0.1%
5	3	< 0.1%
6	1	< 0.1%
7	2	< 0.1%
9	1	< 0.1%
10	3	< 0.1%

Value	Count	Frequency (%)
571475	1	< 0.1%
490672	2	< 0.1%
452715	1	< 0.1%
447678	1	< 0.1%
413220	4	< 0.1%
391836	1	< 0.1%
391707	1	< 0.1%
369220	1	< 0.1%
358491	2	< 0.1%
345997	1	< 0.1%

sum_capital_paid_account_12_24m
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	13086
Distinct (%)	18.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6582.970603

Minimum	0
Maximum	341859
Zeros	53768
Zeros (%)	74.7%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	115
95-th percentile	39395
Maximum	341859
Range	341859
Interquartile range (IQR)	115

Descriptive statistics

Standard deviation	19176.77699
Coefficient of variation (CV)	2.913088657
Kurtosis	44.77826721
Mean	6582.970603
Median Absolute Deviation (MAD)	0
Skewness	5.457809157
Sum	473842224
Variance	367748775.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	53768	74.7%
300	53	0.1%
96974	22	< 0.1%
3485	21	< 0.1%
20390	19	< 0.1%
2190	19	< 0.1%
5990	18	< 0.1%
295	16	< 0.1%
895	15	< 0.1%
50	15	< 0.1%
Other values (13076)	18014	25.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	53768	74.7%
1	6	< 0.1%
2	3	< 0.1%
3	4	< 0.1%
4	2	< 0.1%
5	2	< 0.1%
6	3	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
10	2	< 0.1%

Value	Count	Frequency (%)
341859	1	< 0.1%
336568	2	< 0.1%
333900	1	< 0.1%
321102	1	< 0.1%
315838	1	< 0.1%
314738	1	< 0.1%
313502	2	< 0.1%
310682	1	< 0.1%
307975	1	< 0.1%
300704	1	< 0.1%

sum_paid_inv_0_12m
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	31150
Distinct (%)	43.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39374.72313

Minimum	0
Maximum	2962870
Zeros	15535
Zeros (%)	21.6%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2685
median	16115
Q3	44050.5
95-th percentile	151416.35
Maximum	2962870
Range	2962870
Interquartile range (IQR)	41365.5

Descriptive statistics

Standard deviation	89753.62445
Coefficient of variation (CV)	2.279473157
Kurtosis	407.2223734
Mean	39374.72313
Median Absolute Deviation (MAD)	16115
Skewness	15.27146964
Sum	2834192571
Variance	8055713101
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	15535	21.6%
895	196	0.3%
1790	113	0.2%
1000	72	0.1%
2000	71	0.1%
3290	59	0.1%
2290	58	0.1%
1990	57	0.1%
1290	57	0.1%
2490	57	0.1%
Other values (31140)	55705	77.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	15535	21.6%
90	1	< 0.1%
175	1	< 0.1%
210	1	< 0.1%
270	2	< 0.1%
290	1	< 0.1%
295	2	< 0.1%
300	3	< 0.1%
320	1	< 0.1%
360	2	< 0.1%

Value	Count	Frequency (%)
2962870	1	< 0.1%
2853992	1	< 0.1%
2835652	1	< 0.1%
2792694	1	< 0.1%
2789204	2	< 0.1%
2768835	2	< 0.1%
2746889	3	< 0.1%
2744362	1	< 0.1%
2725405	1	< 0.1%
2719917	1	< 0.1%

time_hours
Real number (ℝ_≥0)

Distinct	43033
Distinct (%)	59.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.33900996

Minimum	0.0002777777778
Maximum	23.99972222
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	562.5 KiB

Quantile statistics

Minimum	0.0002777777778
5-th percentile	7.364694444
Q1	11.62270833
median	15.80930556
Q3	19.56083333
95-th percentile	22.343625
Maximum	23.99972222
Range	23.99944444
Interquartile range (IQR)	7.938125

Descriptive statistics

Standard deviation	5.036018636
Coefficient of variation (CV)	0.328314451
Kurtosis	-0.2198772903
Mean	15.33900996
Median Absolute Deviation (MAD)	3.937638889
Skewness	-0.5029547006
Sum	1104101.937
Variance	25.3614837
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16.245	8	< 0.1%
21.48416667	8	< 0.1%
13.21666667	8	< 0.1%
11.69333333	7	< 0.1%
20.88222222	7	< 0.1%
18.17611111	7	< 0.1%
21.6925	7	< 0.1%
19.74777778	7	< 0.1%
19.29527778	7	< 0.1%
20.27527778	7	< 0.1%
Other values (43023)	71907	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.0002777777778	1	< 0.1%
0.001666666667	2	< 0.1%
0.004444444444	1	< 0.1%
0.005555555556	1	< 0.1%
0.006388888889	1	< 0.1%
0.007222222222	2	< 0.1%
0.007777777778	1	< 0.1%
0.008055555556	1	< 0.1%
0.009722222222	1	< 0.1%
0.01138888889	1	< 0.1%

Value	Count	Frequency (%)
23.99972222	1	< 0.1%
23.99833333	1	< 0.1%
23.99638889	3	< 0.1%
23.99583333	1	< 0.1%
23.99444444	1	< 0.1%
23.99305556	2	< 0.1%
23.99277778	1	< 0.1%
23.99166667	1	< 0.1%
23.99138889	1	< 0.1%
23.99027778	1	< 0.1%

uuid
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	71980
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	6.4 MiB

b1f51df9-76e6-44ac-92b2-c8d3d0554806	1
44c099b7-2ddc-4bd9-ad76-986c50ff98bc	1
4872a2b2-e133-4900-b4a9-e5d415fa70d3	1
5667309f-9c62-41c6-959b-e6c70f0cfa2f	1
e5f8b3b7-2dd9-4197-8eb8-ff4bdc40cc6b	1
Other values (71975)	71975

Length

Max length	36
Median length	36
Mean length	36
Min length	36

Characters and Unicode

Total characters	2591280
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	71980 ?
Unique (%)	100.0%

Sample

1st row	082ef392-fa6f-4373-a2b6-c7deb9ef7090
2nd row	91d4e7bd-5faf-4e8f-ad45-0c7146525768
3rd row	927987c6-789e-4cf5-b24f-7e9634535576
4th row	bc1b6496-db68-4ae0-97a4-a3f08f2e6e9b
5th row	3d9fc921-2aae-4990-ac26-230597ce4039

Common Values

Value	Count	Frequency (%)
b1f51df9-76e6-44ac-92b2-c8d3d0554806	1	< 0.1%
44c099b7-2ddc-4bd9-ad76-986c50ff98bc	1	< 0.1%
4872a2b2-e133-4900-b4a9-e5d415fa70d3	1	< 0.1%
5667309f-9c62-41c6-959b-e6c70f0cfa2f	1	< 0.1%
e5f8b3b7-2dd9-4197-8eb8-ff4bdc40cc6b	1	< 0.1%
f3335bb4-756e-49b9-9b8d-3d59a33431c7	1	< 0.1%
4f3e8faa-0039-41d2-9fff-eb1fafeb7aa8	1	< 0.1%
1c3a3d68-0efc-40d4-a5d5-e42965ef68bb	1	< 0.1%
4cc9674d-62f7-4c20-9d50-50ddd8ff06f1	1	< 0.1%
a2b78055-56f6-4202-a40c-44a4fdd85819	1	< 0.1%
Other values (71970)	71970	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
b1f51df9-76e6-44ac-92b2-c8d3d0554806	1	< 0.1%
44c099b7-2ddc-4bd9-ad76-986c50ff98bc	1	< 0.1%
4872a2b2-e133-4900-b4a9-e5d415fa70d3	1	< 0.1%
5667309f-9c62-41c6-959b-e6c70f0cfa2f	1	< 0.1%
e5f8b3b7-2dd9-4197-8eb8-ff4bdc40cc6b	1	< 0.1%
f3335bb4-756e-49b9-9b8d-3d59a33431c7	1	< 0.1%
4f3e8faa-0039-41d2-9fff-eb1fafeb7aa8	1	< 0.1%
1c3a3d68-0efc-40d4-a5d5-e42965ef68bb	1	< 0.1%
4cc9674d-62f7-4c20-9d50-50ddd8ff06f1	1	< 0.1%
a2b78055-56f6-4202-a40c-44a4fdd85819	1	< 0.1%
Other values (71970)	71970	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
-	287920	11.1%
4	206842	8.0%
8	153707	5.9%
b	153023	5.9%
9	152613	5.9%
a	152609	5.9%
5	135261	5.2%
7	135217	5.2%
6	135177	5.2%
f	135171	5.2%
Other values (7)	943740	36.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1458152	56.3%
Lowercase Letter	845208	32.6%
Dash Punctuation	287920	11.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	206842	14.2%
8	153707	10.5%
9	152613	10.5%
5	135261	9.3%
7	135217	9.3%
6	135177	9.3%
0	135151	9.3%
2	135057	9.3%
3	134699	9.2%
1	134428	9.2%

Lowercase Letter

Value	Count	Frequency (%)
b	153023	18.1%
a	152609	18.1%
f	135171	16.0%
e	135007	16.0%
c	134786	15.9%
d	134612	15.9%

Dash Punctuation

Value	Count	Frequency (%)
-	287920	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1746072	67.4%
Latin	845208	32.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	287920	16.5%
4	206842	11.8%
8	153707	8.8%
9	152613	8.7%
5	135261	7.7%
7	135217	7.7%
6	135177	7.7%
0	135151	7.7%
2	135057	7.7%
3	134699	7.7%

Latin

Value	Count	Frequency (%)
b	153023	18.1%
a	152609	18.1%
f	135171	16.0%
e	135007	16.0%
c	134786	15.9%
d	134612	15.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2591280	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	287920	11.1%
4	206842	8.0%
8	153707	5.9%
b	153023	5.9%
9	152613	5.9%
a	152609	5.9%
5	135261	5.2%
7	135217	5.2%
6	135177	5.2%
f	135171	5.2%
Other values (7)	943740	36.4%

worst_status_active_inv
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	49970
Missing (%)	69.4%
Memory size	3.2 MiB

1.0	19463
2.0	2425
3.0	122

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	66030
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	19463	27.0%
2.0	2425	3.4%
3.0	122	0.2%
(Missing)	49970	69.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	19463	88.4%
2.0	2425	11.0%
3.0	122	0.6%

Most occurring characters

Value	Count	Frequency (%)
.	22010	33.3%
0	22010	33.3%
1	19463	29.5%
2	2425	3.7%
3	122	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	44020	66.7%
Other Punctuation	22010	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	22010	50.0%
1	19463	44.2%
2	2425	5.5%
3	122	0.3%

Other Punctuation

Value	Count	Frequency (%)
.	22010	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	66030	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	22010	33.3%
0	22010	33.3%
1	19463	29.5%
2	2425	3.7%
3	122	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66030	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	22010	33.3%
0	22010	33.3%
1	19463	29.5%
2	2425	3.7%
3	122	0.2%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	row_id	uuid	account_amount_added_12_24m	account_days_in_dc_12_24m	account_days_in_rem_12_24m	account_days_in_term_12_24m	account_incoming_debt_vs_paid_0_24m	account_status	account_worst_status_0_3m	account_worst_status_12_24m	account_worst_status_3_6m	account_worst_status_6_12m	age	avg_payment_span_0_12m	avg_payment_span_0_3m	merchant_category	merchant_group	has_paid	max_paid_inv_0_12m	max_paid_inv_0_24m	name_in_email	num_active_div_by_paid_inv_0_12m	num_active_inv	num_arch_ok_0_12m	num_arch_ok_12_24m	num_arch_rem_0_12m	num_unpaid_bills	status_last_archived_0_24m	status_2nd_last_archived_0_24m	status_3rd_last_archived_0_24m	status_max_archived_0_6_months	status_max_archived_0_12_months	status_max_archived_0_24_months	sum_capital_paid_account_0_12m	sum_capital_paid_account_12_24m	sum_paid_inv_0_12m	time_hours	worst_status_active_inv
0	27330	082ef392-fa6f-4373-a2b6-c7deb9ef7090	0	0.0	0.0	0.0	0.000000	1.0	1.0	1.0	1.0	1.0	41	12.545455	6.000000	Diversified entertainment	Entertainment	True	28367.0	28367.0	L1+F	0.000000	0	11	14	0	0	1	1	1	1	1	1	11895	0	98045	11.871944	NaN
1	36792	91d4e7bd-5faf-4e8f-ad45-0c7146525768	0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	56	26.000000	NaN	Youthful Shoes & Clothing	Clothing & Shoes	True	2190.0	2190.0	F1+L	0.000000	0	1	0	0	0	1	0	0	0	1	1	0	0	2190	15.135000	NaN
2	41325	927987c6-789e-4cf5-b24f-7e9634535576	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	31	10.967742	12.571429	Diversified entertainment	Entertainment	True	2993.0	4570.0	no_match	0.031250	1	30	23	0	1	1	1	1	1	1	1	0	0	46525	19.887500	1.0
3	74231	bc1b6496-db68-4ae0-97a4-a3f08f2e6e9b	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	44	7.000000	NaN	Diversified entertainment	Entertainment	True	4290.0	16585.0	F+L	0.000000	0	3	10	0	0	1	1	1	0	1	1	0	0	5475	20.678611	NaN
4	29031	3d9fc921-2aae-4990-ac26-230597ce4039	43024	0.0	0.0	0.0	2.173318	1.0	1.0	1.0	1.0	1.0	33	15.000000	13.500000	Sports gear & Outdoor	Leisure, Sport & Hobby	True	25295.0	25295.0	no_match	0.000000	0	3	1	0	1	1	1	1	1	1	1	42090	0	40520	19.280278	NaN
5	3479	7a0bd962-772e-45b6-9e4f-3bb56f6fb6a2	39934	0.0	87.0	0.0	0.024073	1.0	2.0	2.0	1.0	2.0	32	3.538462	NaN	Diversified entertainment	Entertainment	True	2175.0	2175.0	F+L	0.230769	3	12	0	1	6	1	1	1	1	2	2	116603	16605	15385	20.460000	1.0
6	60496	7206cb77-04c4-449b-a8a8-de170e322b47	0	0.0	0.0	0.0	0.000000	1.0	1.0	NaN	1.0	NaN	50	17.666667	NaN	Concept stores & Miscellaneous	Leisure, Sport & Hobby	True	8280.0	8280.0	F+L	0.000000	0	3	1	0	0	1	1	1	1	1	1	4780	0	19905	14.513056	NaN
7	7215	9b87306a-9a73-4198-b8a9-5e90c59b7daf	0	0.0	0.0	0.0	NaN	1.0	1.0	NaN	1.0	1.0	31	5.117647	8.000000	Diversified entertainment	Entertainment	True	23400.0	23400.0	F+L	0.000000	0	17	15	0	1	1	1	1	1	1	1	0	0	74476	21.802778	NaN
8	70025	5c88cce8-ab92-45fb-8333-49a79c5c032d	0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	26	NaN	NaN	Diversified entertainment	Entertainment	True	2385.0	2385.0	no_match	0.000000	0	0	1	0	0	1	0	0	0	0	1	0	0	2385	10.966389	NaN
9	42090	de12c788-814c-4fbb-a178-865e7b42ff32	22360	0.0	0.0	0.0	0.517492	1.0	2.0	1.0	2.0	1.0	24	22.833333	27.000000	Diversified entertainment	Entertainment	True	7760.0	7760.0	F+L	0.000000	0	5	1	1	9	2	1	1	2	2	2	65806	8285	21274	21.142778	NaN

Last rows

	row_id	uuid	account_amount_added_12_24m	account_days_in_dc_12_24m	account_days_in_rem_12_24m	account_days_in_term_12_24m	account_incoming_debt_vs_paid_0_24m	account_status	account_worst_status_0_3m	account_worst_status_12_24m	account_worst_status_3_6m	account_worst_status_6_12m	age	avg_payment_span_0_12m	avg_payment_span_0_3m	merchant_category	merchant_group	has_paid	max_paid_inv_0_12m	max_paid_inv_0_24m	name_in_email	num_active_div_by_paid_inv_0_12m	num_active_inv	num_arch_dc_12_24m	num_arch_ok_0_12m	num_arch_ok_12_24m	num_arch_rem_0_12m	num_arch_written_off_0_12m	num_arch_written_off_12_24m	num_unpaid_bills	status_last_archived_0_24m	status_2nd_last_archived_0_24m	status_3rd_last_archived_0_24m	status_max_archived_0_6_months	status_max_archived_0_12_months	status_max_archived_0_24_months	sum_capital_paid_account_0_12m	sum_capital_paid_account_12_24m	sum_paid_inv_0_12m	time_hours	worst_status_active_inv
71970	39111	9d7fd49a-7641-4d55-9006-1cf6fd82c6f8	0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	23	22.142857	NaN	Body & Hair Care	Health & Beauty	True	13680.0	13680.0	no_match	0.000000	0	0	5	0	2	0.0	0.0	0	1	2	1	2	2	2	0	0	49079	10.858056	NaN
71971	61413	88f5fffa-38e0-4c97-9238-a0f4e1dd10cf	0	0.0	0.0	0.0	0.372767	1.0	3.0	1.0	3.0	1.0	40	30.500000	NaN	Diversified entertainment	Entertainment	True	7195.0	16559.0	F+L	0.100000	1	1	4	9	4	0.0	0.0	5	1	1	2	1	2	3	22277	0	31005	20.816944	1.0
71972	81884	a78c1147-f83e-4275-ac0d-15b20be8dc93	0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	18	14.500000	NaN	Diversified entertainment	Entertainment	True	7495.0	7495.0	F+L	0.000000	0	0	4	2	0	0.0	0.0	0	1	1	1	1	1	1	0	0	19160	20.896111	NaN
71973	23394	80909c5e-b617-414c-a91e-a7877af137d7	0	0.0	0.0	0.0	1.843467	1.0	1.0	NaN	1.0	1.0	26	NaN	NaN	Cosmetics	Health & Beauty	True	0.0	0.0	F	NaN	0	0	0	0	0	NaN	NaN	3	0	0	0	0	0	0	4218	0	0	14.463056	NaN
71974	73482	4c22a9da-a68c-45a3-9253-2dc919e7f1f6	41518	0.0	0.0	0.0	5.532144	1.0	1.0	1.0	1.0	1.0	21	38.076923	19.5	Youthful Shoes & Clothing	Clothing & Shoes	True	18772.0	18772.0	F+L	0.153846	2	0	5	10	8	0.0	0.0	5	1	1	2	2	2	2	4629	0	112984	7.129722	1.0
71975	35487	0a9a2584-34d5-4824-ab9a-7fdc080fba0b	0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	18	14.000000	14.0	Youthful Shoes & Clothing	Clothing & Shoes	True	5085.0	5085.0	F+L	0.000000	0	0	1	0	0	0.0	0.0	0	1	0	0	1	1	1	0	0	5085	18.189722	NaN
71976	88726	8744e9ee-7971-4958-b8de-113449bd98b8	5825	0.0	0.0	0.0	1.421025	1.0	1.0	1.0	1.0	2.0	29	18.000000	NaN	Diversified Health & Beauty products	Health & Beauty	True	12574.0	12574.0	L1+F	0.000000	0	0	1	0	0	0.0	0.0	2	1	0	0	1	1	1	9993	0	12574	19.445000	NaN
71977	42190	cef72a33-9343-45cd-bc72-29db36323e63	2607	0.0	0.0	0.0	1.060306	1.0	2.0	1.0	2.0	2.0	28	7.000000	NaN	Books & Magazines	Entertainment	True	12005.0	12005.0	F	0.000000	0	0	1	0	0	0.0	0.0	3	1	0	0	0	1	1	21213	2540	20940	20.188333	NaN
71978	54347	95ce72b5-4787-4c5b-98c0-1094b1e7a5a0	0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	50	22.111111	18.5	Books & Magazines	Entertainment	True	2785.0	3885.0	F	0.100000	1	0	8	6	1	0.0	0.0	1	1	1	1	2	2	2	0	0	13035	21.282222	1.0
71979	16866	71abfd91-ac64-4938-b8f5-dcfa7a210658	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	34	19.000000	NaN	General Shoes & Clothing	Clothing & Shoes	True	4950.0	4950.0	F+L	0.000000	0	0	1	0	0	0.0	0.0	0	1	0	0	0	1	1	0	0	4950	17.812500	NaN

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation